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Electronics: Creating next-generation microwave electronics that balance size, power, and performance for handheld platforms. Signal Processing for Embedded Systems: Designing and optimizing algorithms
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. This includes sample preparation, data collection, computational analysis, and 3D structure determination of protein macromolecules. Experience in cellular tomography workflows for EM analysis of cells and
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structural health monitoring, especially on computer vision, image processing, machine learning, deep learning, signal processing and data analysis techniques, are preferred. Application process To apply
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to three years of study (with the potential for extension) Scholarship Details Maximum number awarded 1 Eligible courses The successful candidate must enrol into a Doctor of Philosophy (PhD) program
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Local students applying for a place in a higher degrees by research (HDR) program will automatically be considered for an Australian Government Research Training Program (RTP) Fees-Offset (Domestic
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Healthcare Cover (Single only) for international students during their doctoral studies. Eligibility Essential You need to meet the entry requirements for QUT's Doctor of Philosophy , including any
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. Application process If you are interested in the joining our doctoral program [PhD], please send your CV and a brief rationale [2-3 paragraphs, maximum] why you want to join this research project
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criteria Australian citizen or permanent resident Full-time enrolment Meets the Curtin University HDR enrolment requirements to undertake a Doctor of Philosophy degree Able to commence early 2025 Currently
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learning is able to achieve reasonable accuracies when the signal to noise ratio is high. To tackle real-time implementation and environment with low signal-to-noise ratio, more effective deep learning is
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to the implementation science and evaluation components of this program, which is grounded in principles of Indigenous data sovereignty, self-determination, and health equity. Students will have the opportunity